摘要
在对传统差分演化算法深入研究的基础上,提出了一种改进的差分演化算法,并成功地把它应用于动态规则问题中.改进后的算法融合了对称算法、锦标赛策略、凸变异和二次变异等思想.实验证明,改进后的算法在最优解的稳定性、收敛速度和求解精度方面表现出了较好的性能.
An improved differential evolution algorithm is proposed in the paper,and successfully applied to solve dynamic programming problem,based on the deep research of the traditional differential evolution algorithm.The improved algorithm fuses with thought of the antimere algorithm,the tournament strategy,the convex mutation and the second mutation.Experiments show that the improved algorithm has better performance in the stability of optimal result,the convergence speed and the result precision.
出处
《河南大学学报（自然科学版）》
CAS
北大核心
2013年第1期79-84,共6页
Journal of Henan University:Natural Science
基金
河南省重点科技攻关项目(122102210488)
许昌市科技攻关项目(1101029)
关键词
差分演化算法
动态规则
对称算法
缩放因子
differential evolution algorithm
dynamic programming
asymmetric algorithm
scale factor
